Artificial Intelligence and Machine Learning for Risk Prediction of Abdominal Aortic Aneurysm Growth and Rupture
Artificial intelligence (AI) and machine learning (ML) are emerging tools in the management of abdominal aortic aneurysms (AAA). They have offered new tools to develop advanced imaging analysis and prediction models. This narrative review summarizes studies exploring AI/ML models to evaluate the risk of AAA growth and rupture. We provide an overview and critical analysis on methodology used, identify current limits and propose future directions for research and implementation in surgical practice.
Authors
- Hervé Delingette (ORCID: https://orcid.org/0000-0001-6050-5949)
- Jia Guo (ORCID: https://orcid.org/0000-0002-5205-6167)
- Juliette Raffort (ORCID: https://orcid.org/0000-0002-6105-1958)
- Fabien Lareyre (ORCID: https://orcid.org/0000-0002-6765-8021)
- Martin Teraa (ORCID: https://orcid.org/0000-0002-6751-6752)
- Regent Lee (ORCID: https://orcid.org/0000-0001-8621-5165)
Institutions
- Centre National de la Recherche Scientifique (FR)
- Institut national de recherche en sciences et technologies du numérique (FR)
- Université Côte d'Azur (FR)
- Nuffield Orthopaedic Centre (GB)
- University Medical Center Utrecht (NL)
- Centre Hospitalier Universitaire de Nice (FR)
- University of Oxford (GB)
- Laboratoire de PhysioMédecine Moléculaire (FR)
- Centre Procédés, Energies Renouvelables et Systèmes Energétiques (FR)
Publication Details
- Journal
- Angiology
- Published
- 2025-10-21
- DOI
- https://doi.org/10.1177/00033197251379127
- Citations
- 1
- Primary Topic
- Aortic aneurysm repair treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.52